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  • Is Google Analytics Part Of Google's Search Engine Algorithm

    - by ub3rst4r
    I was wondering if anyone knows if Google uses the data it receives from Google Analytics to help determine a websites SERP (Search Engine Rank Position). For example, if my website is getting 1000 users visiting my website from Canada and only 100 users visiting my website from the USA, does that mean my website will be ranked higher on Google.ca and lower on Google.com? And, if a website is using Google Analytics will it be ranked higher for the organic search engine keywords?

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  • How could you parallelise a 2D boids simulation

    - by Sycren
    How could you program a 2D boids simulation in such a way that it could use processing power from different sources (clusters, gpu). In the above example, the non-coloured particles move around until they cluster (yellow) and stop moving. The problem is that all the entities could potentially interact with each other although an entity in the top left is unlikely to interact with one in the bottom right. If the domain was split into different segments, it may speed the whole thing up, But if an entity wanted to cross into another segment there may be problems. At the moment this simulation works with 5000 entities with a good frame rate, I would like to try this with millions if possible. Would it be possible to use quad trees to further optimise this? Any other suggestions?

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  • Map Generation Algorithms for Minecraft Clone

    - by Danjen
    I'm making a Minecraft clone for the sake of it (with some inspriation from Dwarf Fortress) and had a few questions about the way the world generation is handled. Things I want it to cover: Biomes such as hills, mountains, forests, etc. Caves/caverns/tunnels Procedural (so it stretches to infinity... is wrap-around a possibility?) Breaking the map into smaller chunks Moddable (ie, new terrain types) Multiplayer compatible In particular, I've seen things such as Perlin Noise, Heightmaps, and Marching Cubes thrown around. These are like different tools to use, but I don't know when or why I would use them. Are there any other techniques that are useful for map generation? I realize this is borderline subjective and open-ended, but I am looking for some more insight into the processes involved.

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  • Find Nearest Object

    - by ultifinitus
    I have a fairly sizable game engine created, and I'm adding some needed features, such as this, how do I find the nearest object from a list of points? In this case, I could simply use the Pythagorean theorem to find the distance, and check the results. I know I can't simply add x and y, because that's the distance to the object, if you only took right angle turns. However I'm wondering if there's something else I could do? I also have a collision system, where essentially I turn objects into smaller objects on a smaller grid, kind of like a minimap, and only if objects exist in the same gridspace do I check for collisions, I could do the same thing, only make the gridspace larger to check for closeness. (rather than checking every. single. object) however that would take additional setup in my base class and clutter up the already cluttered object. TL;DR Question: Is there something efficient and accurate that I can use to detect which object is closest, based on a list of points and sizes?

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  • Help with Collision Resolution?

    - by Milo
    I'm trying to learn about physics by trying to make a simplified GTA 2 clone. My only problem is collision resolution. Everything else works great. I have a rigid body class and from there cars and a wheel class: class RigidBody extends Entity { //linear private Vector2D velocity = new Vector2D(); private Vector2D forces = new Vector2D(); private OBB2D predictionRect = new OBB2D(new Vector2D(), 1.0f, 1.0f, 0.0f); private float mass; private Vector2D deltaVec = new Vector2D(); private Vector2D v = new Vector2D(); //angular private float angularVelocity; private float torque; private float inertia; //graphical private Vector2D halfSize = new Vector2D(); private Bitmap image; private Matrix mat = new Matrix(); private float[] Vector2Ds = new float[2]; private Vector2D tangent = new Vector2D(); private static Vector2D worldRelVec = new Vector2D(); private static Vector2D relWorldVec = new Vector2D(); private static Vector2D pointVelVec = new Vector2D(); public RigidBody() { //set these defaults so we don't get divide by zeros mass = 1.0f; inertia = 1.0f; setLayer(LAYER_OBJECTS); } protected void rectChanged() { if(getWorld() != null) { getWorld().updateDynamic(this); } } //intialize out parameters public void initialize(Vector2D halfSize, float mass, Bitmap bitmap) { //store physical parameters this.halfSize = halfSize; this.mass = mass; image = bitmap; inertia = (1.0f / 20.0f) * (halfSize.x * halfSize.x) * (halfSize.y * halfSize.y) * mass; RectF rect = new RectF(); float scalar = 10.0f; rect.left = (int)-halfSize.x * scalar; rect.top = (int)-halfSize.y * scalar; rect.right = rect.left + (int)(halfSize.x * 2.0f * scalar); rect.bottom = rect.top + (int)(halfSize.y * 2.0f * scalar); setRect(rect); predictionRect.set(rect); } public void setLocation(Vector2D position, float angle) { getRect().set(position, getWidth(), getHeight(), angle); rectChanged(); } public void setPredictionLocation(Vector2D position, float angle) { getPredictionRect().set(position, getWidth(), getHeight(), angle); } public void setPredictionCenter(Vector2D center) { getPredictionRect().moveTo(center); } public void setPredictionAngle(float angle) { predictionRect.setAngle(angle); } public Vector2D getPosition() { return getRect().getCenter(); } public OBB2D getPredictionRect() { return predictionRect; } @Override public void update(float timeStep) { doUpdate(false,timeStep); } public void doUpdate(boolean prediction, float timeStep) { //integrate physics //linear Vector2D acceleration = Vector2D.scalarDivide(forces, mass); if(prediction) { Vector2D velocity = Vector2D.add(this.velocity, Vector2D.scalarMultiply(acceleration, timeStep)); Vector2D c = getRect().getCenter(); c = Vector2D.add(getRect().getCenter(), Vector2D.scalarMultiply(velocity , timeStep)); setPredictionCenter(c); //forces = new Vector2D(0,0); //clear forces } else { velocity.x += (acceleration.x * timeStep); velocity.y += (acceleration.y * timeStep); //velocity = Vector2D.add(velocity, Vector2D.scalarMultiply(acceleration, timeStep)); Vector2D c = getRect().getCenter(); v.x = getRect().getCenter().getX() + (velocity.x * timeStep); v.y = getRect().getCenter().getY() + (velocity.y * timeStep); deltaVec.x = v.x - c.x; deltaVec.y = v.y - c.y; deltaVec.normalize(); setCenter(v.x, v.y); forces.x = 0; //clear forces forces.y = 0; } //angular float angAcc = torque / inertia; if(prediction) { float angularVelocity = this.angularVelocity + angAcc * timeStep; setPredictionAngle(getAngle() + angularVelocity * timeStep); //torque = 0; //clear torque } else { angularVelocity += angAcc * timeStep; setAngle(getAngle() + angularVelocity * timeStep); torque = 0; //clear torque } } public void updatePrediction(float timeStep) { doUpdate(true, timeStep); } //take a relative Vector2D and make it a world Vector2D public Vector2D relativeToWorld(Vector2D relative) { mat.reset(); Vector2Ds[0] = relative.x; Vector2Ds[1] = relative.y; mat.postRotate(JMath.radToDeg(getAngle())); mat.mapVectors(Vector2Ds); relWorldVec.x = Vector2Ds[0]; relWorldVec.y = Vector2Ds[1]; return new Vector2D(Vector2Ds[0], Vector2Ds[1]); } //take a world Vector2D and make it a relative Vector2D public Vector2D worldToRelative(Vector2D world) { mat.reset(); Vector2Ds[0] = world.x; Vector2Ds[1] = world.y; mat.postRotate(JMath.radToDeg(-getAngle())); mat.mapVectors(Vector2Ds); return new Vector2D(Vector2Ds[0], Vector2Ds[1]); } //velocity of a point on body public Vector2D pointVelocity(Vector2D worldOffset) { tangent.x = -worldOffset.y; tangent.y = worldOffset.x; return Vector2D.add( Vector2D.scalarMultiply(tangent, angularVelocity) , velocity); } public void applyForce(Vector2D worldForce, Vector2D worldOffset) { //add linear force forces.x += worldForce.x; forces.y += worldForce.y; //add associated torque torque += Vector2D.cross(worldOffset, worldForce); } @Override public void draw( GraphicsContext c) { c.drawRotatedScaledBitmap(image, getPosition().x, getPosition().y, getWidth(), getHeight(), getAngle()); } public Vector2D getVelocity() { return velocity; } public void setVelocity(Vector2D velocity) { this.velocity = velocity; } public Vector2D getDeltaVec() { return deltaVec; } } Vehicle public class Wheel { private Vector2D forwardVec; private Vector2D sideVec; private float wheelTorque; private float wheelSpeed; private float wheelInertia; private float wheelRadius; private Vector2D position = new Vector2D(); public Wheel(Vector2D position, float radius) { this.position = position; setSteeringAngle(0); wheelSpeed = 0; wheelRadius = radius; wheelInertia = (radius * radius) * 1.1f; } public void setSteeringAngle(float newAngle) { Matrix mat = new Matrix(); float []vecArray = new float[4]; //forward Vector vecArray[0] = 0; vecArray[1] = 1; //side Vector vecArray[2] = -1; vecArray[3] = 0; mat.postRotate(newAngle / (float)Math.PI * 180.0f); mat.mapVectors(vecArray); forwardVec = new Vector2D(vecArray[0], vecArray[1]); sideVec = new Vector2D(vecArray[2], vecArray[3]); } public void addTransmissionTorque(float newValue) { wheelTorque += newValue; } public float getWheelSpeed() { return wheelSpeed; } public Vector2D getAnchorPoint() { return position; } public Vector2D calculateForce(Vector2D relativeGroundSpeed, float timeStep, boolean prediction) { //calculate speed of tire patch at ground Vector2D patchSpeed = Vector2D.scalarMultiply(Vector2D.scalarMultiply( Vector2D.negative(forwardVec), wheelSpeed), wheelRadius); //get velocity difference between ground and patch Vector2D velDifference = Vector2D.add(relativeGroundSpeed , patchSpeed); //project ground speed onto side axis Float forwardMag = new Float(0.0f); Vector2D sideVel = velDifference.project(sideVec); Vector2D forwardVel = velDifference.project(forwardVec, forwardMag); //calculate super fake friction forces //calculate response force Vector2D responseForce = Vector2D.scalarMultiply(Vector2D.negative(sideVel), 2.0f); responseForce = Vector2D.subtract(responseForce, forwardVel); float topSpeed = 500.0f; //calculate torque on wheel wheelTorque += forwardMag * wheelRadius; //integrate total torque into wheel wheelSpeed += wheelTorque / wheelInertia * timeStep; //top speed limit (kind of a hack) if(wheelSpeed > topSpeed) { wheelSpeed = topSpeed; } //clear our transmission torque accumulator wheelTorque = 0; //return force acting on body return responseForce; } public void setTransmissionTorque(float newValue) { wheelTorque = newValue; } public float getTransmissionTourque() { return wheelTorque; } public void setWheelSpeed(float speed) { wheelSpeed = speed; } } //our vehicle object public class Vehicle extends RigidBody { private Wheel [] wheels = new Wheel[4]; private boolean throttled = false; public void initialize(Vector2D halfSize, float mass, Bitmap bitmap) { //front wheels wheels[0] = new Wheel(new Vector2D(halfSize.x, halfSize.y), 0.45f); wheels[1] = new Wheel(new Vector2D(-halfSize.x, halfSize.y), 0.45f); //rear wheels wheels[2] = new Wheel(new Vector2D(halfSize.x, -halfSize.y), 0.75f); wheels[3] = new Wheel(new Vector2D(-halfSize.x, -halfSize.y), 0.75f); super.initialize(halfSize, mass, bitmap); } public void setSteering(float steering) { float steeringLock = 0.13f; //apply steering angle to front wheels wheels[0].setSteeringAngle(steering * steeringLock); wheels[1].setSteeringAngle(steering * steeringLock); } public void setThrottle(float throttle, boolean allWheel) { float torque = 85.0f; throttled = true; //apply transmission torque to back wheels if (allWheel) { wheels[0].addTransmissionTorque(throttle * torque); wheels[1].addTransmissionTorque(throttle * torque); } wheels[2].addTransmissionTorque(throttle * torque); wheels[3].addTransmissionTorque(throttle * torque); } public void setBrakes(float brakes) { float brakeTorque = 15.0f; //apply brake torque opposing wheel vel for (Wheel wheel : wheels) { float wheelVel = wheel.getWheelSpeed(); wheel.addTransmissionTorque(-wheelVel * brakeTorque * brakes); } } public void doUpdate(float timeStep, boolean prediction) { for (Wheel wheel : wheels) { float wheelVel = wheel.getWheelSpeed(); //apply negative force to naturally slow down car if(!throttled && !prediction) wheel.addTransmissionTorque(-wheelVel * 0.11f); Vector2D worldWheelOffset = relativeToWorld(wheel.getAnchorPoint()); Vector2D worldGroundVel = pointVelocity(worldWheelOffset); Vector2D relativeGroundSpeed = worldToRelative(worldGroundVel); Vector2D relativeResponseForce = wheel.calculateForce(relativeGroundSpeed, timeStep,prediction); Vector2D worldResponseForce = relativeToWorld(relativeResponseForce); applyForce(worldResponseForce, worldWheelOffset); } //no throttling yet this frame throttled = false; if(prediction) { super.updatePrediction(timeStep); } else { super.update(timeStep); } } @Override public void update(float timeStep) { doUpdate(timeStep,false); } public void updatePrediction(float timeStep) { doUpdate(timeStep,true); } public void inverseThrottle() { float scalar = 0.2f; for(Wheel wheel : wheels) { wheel.setTransmissionTorque(-wheel.getTransmissionTourque() * scalar); wheel.setWheelSpeed(-wheel.getWheelSpeed() * 0.1f); } } } And my big hack collision resolution: private void update() { camera.setPosition((vehicle.getPosition().x * camera.getScale()) - ((getWidth() ) / 2.0f), (vehicle.getPosition().y * camera.getScale()) - ((getHeight() ) / 2.0f)); //camera.move(input.getAnalogStick().getStickValueX() * 15.0f, input.getAnalogStick().getStickValueY() * 15.0f); if(input.isPressed(ControlButton.BUTTON_GAS)) { vehicle.setThrottle(1.0f, false); } if(input.isPressed(ControlButton.BUTTON_STEAL_CAR)) { vehicle.setThrottle(-1.0f, false); } if(input.isPressed(ControlButton.BUTTON_BRAKE)) { vehicle.setBrakes(1.0f); } vehicle.setSteering(input.getAnalogStick().getStickValueX()); //vehicle.update(16.6666666f / 1000.0f); boolean colided = false; vehicle.updatePrediction(16.66666f / 1000.0f); List<Entity> buildings = world.queryStaticSolid(vehicle,vehicle.getPredictionRect()); if(buildings.size() > 0) { colided = true; } if(!colided) { vehicle.update(16.66f / 1000.0f); } else { Vector2D delta = vehicle.getDeltaVec(); vehicle.setVelocity(Vector2D.negative(vehicle.getVelocity().multiply(0.2f)). add(delta.multiply(-1.0f))); vehicle.inverseThrottle(); } } Here is OBB public class OBB2D { // Corners of the box, where 0 is the lower left. private Vector2D corner[] = new Vector2D[4]; private Vector2D center = new Vector2D(); private Vector2D extents = new Vector2D(); private RectF boundingRect = new RectF(); private float angle; //Two edges of the box extended away from corner[0]. private Vector2D axis[] = new Vector2D[2]; private double origin[] = new double[2]; public OBB2D(Vector2D center, float w, float h, float angle) { set(center,w,h,angle); } public OBB2D(float left, float top, float width, float height) { set(new Vector2D(left + (width / 2), top + (height / 2)),width,height,0.0f); } public void set(Vector2D center,float w, float h,float angle) { Vector2D X = new Vector2D( (float)Math.cos(angle), (float)Math.sin(angle)); Vector2D Y = new Vector2D((float)-Math.sin(angle), (float)Math.cos(angle)); X = X.multiply( w / 2); Y = Y.multiply( h / 2); corner[0] = center.subtract(X).subtract(Y); corner[1] = center.add(X).subtract(Y); corner[2] = center.add(X).add(Y); corner[3] = center.subtract(X).add(Y); computeAxes(); extents.x = w / 2; extents.y = h / 2; computeDimensions(center,angle); } private void computeDimensions(Vector2D center,float angle) { this.center.x = center.x; this.center.y = center.y; this.angle = angle; boundingRect.left = Math.min(Math.min(corner[0].x, corner[3].x), Math.min(corner[1].x, corner[2].x)); boundingRect.top = Math.min(Math.min(corner[0].y, corner[1].y),Math.min(corner[2].y, corner[3].y)); boundingRect.right = Math.max(Math.max(corner[1].x, corner[2].x), Math.max(corner[0].x, corner[3].x)); boundingRect.bottom = Math.max(Math.max(corner[2].y, corner[3].y),Math.max(corner[0].y, corner[1].y)); } public void set(RectF rect) { set(new Vector2D(rect.centerX(),rect.centerY()),rect.width(),rect.height(),0.0f); } // Returns true if other overlaps one dimension of this. private boolean overlaps1Way(OBB2D other) { for (int a = 0; a < axis.length; ++a) { double t = other.corner[0].dot(axis[a]); // Find the extent of box 2 on axis a double tMin = t; double tMax = t; for (int c = 1; c < corner.length; ++c) { t = other.corner[c].dot(axis[a]); if (t < tMin) { tMin = t; } else if (t > tMax) { tMax = t; } } // We have to subtract off the origin // See if [tMin, tMax] intersects [0, 1] if ((tMin > 1 + origin[a]) || (tMax < origin[a])) { // There was no intersection along this dimension; // the boxes cannot possibly overlap. return false; } } // There was no dimension along which there is no intersection. // Therefore the boxes overlap. return true; } //Updates the axes after the corners move. Assumes the //corners actually form a rectangle. private void computeAxes() { axis[0] = corner[1].subtract(corner[0]); axis[1] = corner[3].subtract(corner[0]); // Make the length of each axis 1/edge length so we know any // dot product must be less than 1 to fall within the edge. for (int a = 0; a < axis.length; ++a) { axis[a] = axis[a].divide((axis[a].length() * axis[a].length())); origin[a] = corner[0].dot(axis[a]); } } public void moveTo(Vector2D center) { Vector2D centroid = (corner[0].add(corner[1]).add(corner[2]).add(corner[3])).divide(4.0f); Vector2D translation = center.subtract(centroid); for (int c = 0; c < 4; ++c) { corner[c] = corner[c].add(translation); } computeAxes(); computeDimensions(center,angle); } // Returns true if the intersection of the boxes is non-empty. public boolean overlaps(OBB2D other) { if(right() < other.left()) { return false; } if(bottom() < other.top()) { return false; } if(left() > other.right()) { return false; } if(top() > other.bottom()) { return false; } if(other.getAngle() == 0.0f && getAngle() == 0.0f) { return true; } return overlaps1Way(other) && other.overlaps1Way(this); } public Vector2D getCenter() { return center; } public float getWidth() { return extents.x * 2; } public float getHeight() { return extents.y * 2; } public void setAngle(float angle) { set(center,getWidth(),getHeight(),angle); } public float getAngle() { return angle; } public void setSize(float w,float h) { set(center,w,h,angle); } public float left() { return boundingRect.left; } public float right() { return boundingRect.right; } public float bottom() { return boundingRect.bottom; } public float top() { return boundingRect.top; } public RectF getBoundingRect() { return boundingRect; } public boolean overlaps(float left, float top, float right, float bottom) { if(right() < left) { return false; } if(bottom() < top) { return false; } if(left() > right) { return false; } if(top() > bottom) { return false; } return true; } }; What I do is when I predict a hit on the car, I force it back. It does not work that well and seems like a bad idea. What could I do to have more proper collision resolution. Such that if I hit a wall I will never get stuck in it and if I hit the side of a wall I can steer my way out of it. Thanks I found this nice ppt. It talks about pulling objects apart and calculating new velocities. How could I calc new velocities in my case? http://www.google.ca/url?sa=t&rct=j&q=&esrc=s&source=web&cd=2&ved=0CC8QFjAB&url=http%3A%2F%2Fcoitweb.uncc.edu%2F~tbarnes2%2FGameDesignFall05%2FSlides%2FCh4.2-CollDet.ppt&ei=x4ucULy5M6-N0QGRy4D4Cg&usg=AFQjCNG7FVDXWRdLv8_-T5qnFyYld53cTQ&cad=rja

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  • Is there a significant hit to a non .com TLDs exact match domain (EMD) names after Google's Panda update?

    - by ElHaix
    In this article, there is a good overview of exact match domain names and how they affect SEO after Google's Panda update. The last graph shows the Non-com EMD Influence, where it is suggested that a .com tld will perform better than a non-.com one. However, let's consider local search. In the US, .com's work great. However, let's say you're in Canada, and you have a .ca EMD, all with local, Canadian results. Would the expectation be that the .com equivalent still perform better? As a user I would expect the .ca results to be more relevant, and I'm wondering if anyone else has experience with this?

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  • Best Upper Bound & Best Lower Bound of an Algorithm

    - by Nayefc
    I am studying for a final exam and I came past a question I had on an earlier test. The questions asks us to find the minimum value in an unsorted array of integers. We must provide the best upper bound and the best lower bound that you can for the problem in the worst case. First, in such an example, the upper and lower bound are the same (hence, we can talk in terms of Big-Theta). In the worst case, we would have to go through the whole list as the minimum value would be at the end of the list. Therefore, the answer is Big-Theta(n). Is this a correct & good explanation?

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  • LibGDX Boid Seek Behaviour

    - by childonline
    I'm trying to make a swarm of boids which seek out the mouse position and move towards it, but I'm having a bit of a problem. The boids just seem to want to go to upper-right corner of the game window. The mouse position seems influence the behavior a bit, but not enough to make the boid turn towards it. I suspect there is a problem with the way LibGDX handles its coordinate system, but I'm not sure how to fix it I've uploaded the eclipse project here! Also here are the relevant bits of my code, in case you see something obviously wrong: public Agent(){ _texture = GdxGame.TEX_AGENT; TextureRegion region = new TextureRegion(_texture, 0, 0, 32, 32); TextureRegion region2 = new TextureRegion(GdxGame.TEX_TARGET, 0, 0, 32, 32); _sprite = new Sprite(region); _sprite.setSize(.05f, .05f); _sprite_target = new Sprite(region2); _sprite_target.setSize(.1f, .1f); _max_velocity = 0.05f; _max_speed = 0.005f; _velocity = new Vector2(0, 0); _desired_velocity = new Vector2(0, 0); _steering = new Vector2(0, 0); _position = new Vector2(-_sprite.getWidth()/2, -_sprite.getHeight()/2); _mass = 10f; } public void Update(float deltaTime){ _target = new Vector2(Gdx.input.getX(), Gdx.input.getY()); _desired_velocity = ((_target.sub(_position)).nor()).scl(_max_velocity,_max_velocity); _steering = ((_desired_velocity.sub(_velocity)).limit(_max_speed)).div(_mass); _velocity = (_velocity.add(_steering)).limit(_max_speed); _position = _position.add(_velocity); _sprite.setPosition(_position.x, _position.y); _sprite_target.setPosition(Gdx.input.getX(), Gdx.input.getY()); } I've used this tutorial here. Thanks!

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  • Algorithm to find all tiles within a given radius on staggered isometric map

    - by kasztelan
    Given staggered isometric map and a start tile what would be the best way to get all surrounding tiles within given radius(middle to middle)? I can get all neighbours of a given tile and distance between each of them without any problems but I'm not sure what path to take after that. This feature will be used quite often (along with A*) so I'd like to avoid unecessary calculations. If it makes any difference I'm using XNA and each tile is 64x32 pixels.

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  • genetic algorithm for leveling/build test

    - by Renan Malke Stigliani
    I'm starting o build a online PVP (duel like, one-to-one) game, where there is leveling, skill points, special attacks and all the common stuff. Since I never did anything like that, I'm still thinking about the maths behind the level/skill/special balances. So I thought good way of testing the best/combo builds would implement a Genetic Algorith. It'd be like that: Generate a big portion of random characters Make them fight, level them up accordingly to the victories(more XP)/losses(less XP) Mate the winners, crossing their builds, to try to make even best characters Add some more random chars, emulating new players Repeat the process for some time, or util find some chars who can beat everyone butts So I could play with the math and try to find the balance where the top x% chars would be a mix of various build types. So, is it a good idea, or there are some other easier method to do the balance? PS: I like this also, because it sounds funny

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  • Physics engine that can handle multiple attractors?

    - by brice
    I'm putting together a game that will be played mostly with three dimensional gravity. By that I mean multiple planets/stars/moons behaving realistically, and path plotting and path prediction in the gravity field. I have looked at a variety of physics engines, such as Bullet, tokamak or Newton, but none of them seem to be suitable, as I'd essentially have to re-write the gravity engine in their framework. Do you know of a physics engine that is capable of dealing with multiple bodies all attracted to one another? I don't need scenegraph management, or rendering, just core physics. (collision detection would be a bonus, as would rigid body dynamics). My background is in physics, so I would be able to write an engine that uses Verlet integration or RK4 (or even Euler integration, if I had to) but I'd much rather adapt an off the shelf solution. [edit]: There are some great resources for physics simulation of n-body problems online, and on stackoverflow

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  • AI Game Programming : Bayesian Networks, how to make efficient?

    - by Mahbubur R Aaman
    We know that AI is one of the most important part of Game Programming. Bayesian networks is one of the core part of AI at Game Programming. Bayesian networks are graphs that compactly represent the relationship between random variables for a given problem. These graphs aid in performing reasoning or decision making in the face of uncertainty. Here me, utilizing the monte carlo method and genetic algorithms. But tooks much time and sometimes crashes due to memory. Is there any way to implement efficiently?

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  • Dynamic real-time pathfinding with C# and unity

    - by Yakri
    A buddy and I are working on a simple 2D top down arena combat game similar to OpenGLAD (grew up on ye olde GLADIATOR). Thing is, we want to make some substantial deviation from our source of inspiration, including completely destructible/changeable terrain. Like rivers that can be frozen, walls which can be knocked down, etc. As well as letting players and NPC's build new terrain objects, some of which cannot be moved through or seen through. So I'm tasked with creating the AI, starting with pathfinding. Because of all the changeable terrain, we need something that can check to see if the player/other NPC's are in line of sight, and which can then check to find current paths around existing terrain, without getting completely confused by new terrain popping up, and old terrain vanishing, and even capable of breaking through terrain. A lot of that will just be filling in the framework of the feature, but I really just don't know where to start. What I'm really looking for are relevant websites, books, articles, or keywords to google. I just can't quite find a direction to start in, because most pathfinding types we've googled up just won't give us even the most basic level of robustness we need.

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  • Logic behind a bejeweled-like game

    - by Joe
    In a prototype I am doing, there is a minigame similar to bejeweled. Using a grid that is a 2d array (int[,]) how can I go about know when the user formed a match? I only care about horizontally and vertically. Off the top of my head I was thinking I would just look each direction. Something like: int item = grid[x,y]; if(grid[x-1,y]==item) { int step=x; int matches =2; while(grid[step-1,y]==item) { step++; matches++ } if(matches>2) //remove all matching items } else if(grid[x+1,y]==item //.... else if(grid[x,y-1==item) //... else if(grid[x,y+1]==item) //... It seems like there should be a better way. Is there?

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  • Creating blur with an alpha channel, incorrect inclusion of black

    - by edA-qa mort-ora-y
    I'm trying to do a blur on a texture with an alpha channel. Using a typical approach (two-pass, gaussian weighting) I end up with a very dark blur. The reason is because the blurring does not properly account for the alpha channel. It happily blurs in the invisible part of the image, whcih happens to be black, and thus results in a very dark blur. Is there a technique to blur that properly accounts for the alpha channel?

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  • Is a backlink with a duplicate description and title from a news site bad for SEO?

    - by Dejan Pelzel
    I have a blog with over a thousand posts. I have posted some of those to a news aggregator site and included the same preview photo and description that I used for it on my own site and the link to the post on my site. Since the site is mainly videos and images, the description was usually a complete match of 4-6 lines of text. It now looks that I have been affected by panda and since I am not doing any bad stuff, I suspect it might be due to duplicate content. For example, when I search the title of my posts, sometimes my site is not even returned, but the news aggregator site is. Could this be the problem with panda?

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  • How to implement an experience system?

    - by Roflcoptr
    I'm currently writing a small game that is based on earning experiences when killing enemies. As usual, each level requires more experience gain than the level before, and on higher levels killing enemies awards more experience. But I have problem balancing this system. Are there any prebuild algorithms that help to caculate how the experience curve required for each level should look like? And how much experience an average enemy on a specific level should provide?

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  • PyGame QIX clone, filling areas

    - by astropanic
    I'm playing around with PyGame. Now I'm trying to implement a QIX clone. I have my game loop, and I can move the player (cursor) on the screen. In QIX, the movment of the player leaves a trace (tail) on the screen, creating a polyline. If the polyline with the screen boundaries creates a polygon, the area is filled. How I can accomplish this behaviour ? How store the tail in memory ? How to detect when it build a closed shape that should be filled ? I don't need an exact working solution, some pointers, algo names would be cool.

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  • Sentence Tree v/s Words List

    - by Rohit Jose
    I was recently tasked with building a Name Entity Recognizer as part of a project. The objective was to parse a given sentence and come up with all the possible combinations of the entities. One approach that was suggested was to keep a lookup table for all the know connector words like articles and conjunctions, remove them from the words list after splitting the sentence on the basis of the spaces. This would leave out the Name Entities in the sentence. A lookup is then done for these identified entities on another lookup table that associates them to the entity type, for example if the sentence was: Remember the Titans was a movie directed by Boaz Yakin, the possible outputs would be: {Remember the Titans,Movie} was {a movie,Movie} directed by {Boaz Yakin,director} {Remember the Titans,Movie} was a movie directed by Boaz Yakin {Remember the Titans,Movie} was {a movie,Movie} directed by Boaz Yakin {Remember the Titans,Movie} was a movie directed by {Boaz Yakin,director} Remember the Titans was {a movie,Movie} directed by Boaz Yakin Remember the Titans was {a movie,Movie} directed by {Boaz Yakin,director} Remember the Titans was a movie directed by {Boaz Yakin,director} Remember the {the titans,Movie,Sports Team} was {a movie,Movie} directed by {Boaz Yakin,director} Remember the {the titans,Movie,Sports Team} was a movie directed by Boaz Yakin Remember the {the titans,Movie,Sports Team} was {a movie,Movie} directed by Boaz Yakin Remember the {the titans,Movie,Sports Team} was a movie directed by {Boaz Yakin,director} The entity lookup table here would contain the following data: Remember the Titans=Movie a movie=Movie Boaz Yakin=director the Titans=Movie the Titans=Sports Team Another alternative logic that was put forward was to build a crude sentence tree that would contain the connector words in the lookup table as parent nodes and do a lookup in the entity table for the leaf node that might contain the entities. The tree that was built for the sentence above would be: The question I am faced with is the benefits of the two approaches, should I be going for the tree approach to represent the sentence parsing, since it provides a more semantic structure? Is there a better approach I should be going for solving it?

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  • How to evaluate a user against optimal performance?

    - by Alex K
    I have trouble coming up with a system of assigning a rating to player's performance. Well, technically there is is a trivial rating system, but I don't like it because it would mean assigning negative scores, which I think most players will be discouraged by. The problem is that I only know the ideal number of actions to get the desired result. The worst case is infinite number of actions, so there is no obvious scale. The trivial way I referred to above is to take score = (#optimal-moves - #players-moves), with ideal score being zero. However, psychologically people like big numbers. No one wants to win by getting a mark of 0. I wonder if there is a system that someone else has come up with before to solve this problem? Essentially I wish to score the players based on: How close they've come to the ideal solution. Different challenges will have different optimal number of actions, so the scoring system needs to take that into account, e.g. Challenge 1 - max 10 points, Challenge 2 - max 20 points. I don't mind giving the players negative scores if they've performed exceptionally badly, I just don't want all scores to be <=0

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  • Dropped impression 25 days after restructure

    - by Hamid
    Our website is a non English property related website (moshaver.com) which is similar to rightmove.co.uk. On September 2012 our website was adversely affected by Panda causing our Google incoming clicks to drop from around 3000 clicks to less than a thousand. We were hoping that Google will eventually realize that we are not a spam website and things will get better. However, in August 2013 we were almost sure that we needed to do something, so we started to restructure our web content. We used the canonical tag to remove our search results and point to our listing pages, using the noindex tag to remove it from our listing pages which does not have any properties at the moment. We also changed title tags to more friendly ones, in addition to other changes. Our changes were effective on 10th August. As shown in the graph taken from Google Analytics Search Engine Optimization section, these changes has resulted in an increase in the number of times Google displayed our results in its search results. Our impressions almost doubled starting 15th August. However, as the graph shows, our CTR dropped from this date from around 15% to 8%. This might have been because of our changed title tags (so people were less likely to click on them), or it might be normal for increased impressions. This situation has continued up until 10th September, when our impressions decreased dramatically to less than a thousand. This is almost 30% of our original impressions (before website restructure) and 15% of the new impressions. At the same time our impressions has increased dramatically to around 50%. I have two theories for this increase. The first one is that these statistics are less accurate for lower impressions. The second one is that Google is now only displaying our results for queries directly related to our website (our name, our url), and not for general terms, such as "apartments in a specific city". The second theory also explains the dramatic decrease in impression as well. After digging the analytic data a little more, I constructed the following table. It displays the breakdown of our impressions, clicks and ctr in different Google products (web and image) and in total. What I understand from this table is that, most of our increased impressions after restructure were on the image search section. I don't think users of search would be looking for content in our website. Furthermore, it shows that the drop in our web search ctr, is as dramatic of the overall ctr (-30% in compare to -60%) . I thought posting it here might help you understand the situation better. Is it possible that Google has tested our new structure for 25 days, and then decided to decrease our impressions because of the the new low CTR? Or should we look for another factor? If this is the case, how long does it usually take for Google to give us another chance? It has been one month since our impressions has dropped.

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  • Game window systems and internal frames

    - by 2080
    I don't know if this is a valid question, but: What kind of window manager do games use which have internal frames (Frames inside frames)? Does this differ between the programming languages (Are e.g. in Java the AWT/Swing libraries used to manage these and other graphical elements, such as buttons,or is this to restrictive (speed, graphical possibilities?)) A special example would be EVE Online, where the client can use the ingame windows like on a normal desktop.

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  • SEO optimisation problems after Google Panda [on hold]

    - by Daniel West
    I am currently trying to improve a website's SEO after it took quite a hit from the Google Panda upgrades. What are the main things I need to look at improving when trying to improve its ranking in Google? I have already made sure that the pages validate to W3C Standards, minimized css and js and done the obvious meta tags and header optimization but this hasn't made any difference yet. It could possibly be a content issue as the pages currently read much like a brochure and there were some pages with just a video and no text content on them which is also an issue. I've added a rel="nofollow" attribute to the links to these pages although i'm told this doesn't really work anymore. If anyone has any ideas let me know. Cheers!

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  • Random number generation algorithm for human brains?

    - by Magnus Wolffelt
    Are you aware of, or have you devised, any practical, simple-to-learn "in-head" algorithms that let humans generate (somewhat "true") random numbers? By "in-head" I mean.. preferrably without any external tools or devices. Also, a high output (many random numbers per minute) is desirable. Asked this on SO but it didn't get much interest. Maybe this is better suited for programmers.. :) I'm genuinely curious about anything that people might have come up with on this problem.

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