#optimizationofwaypoints resultados de búsqueda

Fleet managers are hemorrhaging money on fuel costs because their drivers don't have real-time route optimization. 🤷‍♂️ Here's the thing - outdated traffic data leads to inefficient routes and wasted fuel. @PathPulse_AI dashboard tracks everything from idle time to optimal…

ROBOT's shortest path in obstacle field mapped by Dijkstra's algorithm. It was long assumed that the most efficient way to find best routes in graphs is Dijkstra algorithm. But it's optimality was proven only in 2023, in a work that won best-paper award. community.wolfram.com/groups/-/m/t/3…

10 Must-know best practices for optimizing API endpoints: • Pagination ↳ Break large datasets into smaller chunks with tools like limit and offset parameters. This improves performance and avoids crashing clients with oversized responses. Combine with cursors for better…

Java Performance Optimisation Overview 👉 → JVM memory model: Heap, stack and metaspace → Garbage Collectors: G1 and ZGC for large heaps → Prefer StringBuilder: Avoid repeated string copying → Thread pools: Reuse threads and reduce CPU stress → Avoid synchronized blocks…

this will help me refine and optimize my routes thank you whoever put this

New post! Behavioral consistency in LLM agents isn’t a prompt problem, it’s a graph optimization problem. Jointly optimize behavior across entire @DSPyOSS agents, from routing decisions to how each branch preserves context and communicates outcomes. (Link below)

New post! Optimizing End to End Agent Workflows with @DSPyOSS optimizers: Differentiable Programming for Learnable Graphs How learnable graphs reduce manual tuning, scale decision-making, and make LLM workflows self-improving. (Link below)

one of the optimizations we used for vercel.domains is resource pooling. a technique not often seen or utilized in the typescript/node world. b/c of how high through put the server needs to be, we need to reduce as much pressure on the garbage collector as possible

New post! Optimizing Tool Selection for LLM Workflows: Differentiable Programming with @PyTorch and @DSPyOSS Training local, learnable routers can reduce token overhead, lower costs, and bring structure back to agentic workflows. This post shows how. (Link below)

Released a new blog post on: Optimising Your Unreal Engine 5 project Check it out👉buff.ly/oG6lxK3 It’s based on my years of experience making games and the real lessons I've learned. I cover topics like: 🔸Why Optimising Isn’t One-Size-Fits-All 🔸High-Level Flow for…

Making a pause to breath, discovered a optimization for Notes route when you're full bounces.

J'ai refactoré mon tableau : 🇫🇷 Méthodes d’Optimisation 👉 lombard-web-services.github.io/Docs/Optimizat… I rebuilt my fully interactive comparison tables for : 🇬🇧 Optimization Methods 👉 lombard-web-services.github.io/Docs/Optimizat… Great optimization deserves great presentation! 🚀 #ML #Optimization #MachineLearning

If you want to learn how road routing is done in the real world, there's an excellent presentation by Renato Werneck, link below. It'll show you how inadequate plain Dijkstra (even bidirectional) is for the job. Huge thanks to @ChShersh for helping me find the presentation.

Dijkstra’s algorithm doesn’t just tell you the fastest route to one destination. Instead, it gives you an ordered list of travel times from your current location to every other point that you might want to visit — a solution to what researchers call the single-source…

Here's an explanation and some theory behind optimizing topology for games. Thanks to @henningsanden for his example.

This prompt reveals what you're actually optimizing for (hint: it's probably not what you think)

Really great article for optimization really great article on optimization for software developers -multi-variable optimization is an incredibly useful tool for writing software -maths with cs stuffs

Cross-chain Optimization Engine • Score: yield + TVL, risk-aware • Cost model: treats swaps/bridges as “energy” to minimize • Search: efficient planner that finds better allocations • Explainability: receipts + rationale for every move docsend.com/view/8qqn3qy5i…

Comparison of a straight line between two villages (gold) vs. my current road generation algorithm (blue) So far the algorithm goes around mountains, minimizes distance when crossing rivers, and tries to stay on flatter terrain (to avoid going up/down unnecessarily when a…