optimiz search results




Showing 20 out of 388 articles for optimiz
pythonguides.com | Yesterday
Summary:
In this Python tutorial, we will learn about the 8220 Python Scipy Minimize 8220 , where we will know how to find the minimum value of given function and cover the following topics. Python Scipy Minimize Python Scipy Minimize Multiple Variables Py...


Keywords: algorithms, scala, test, python, tutorial

k2web.in | Yesterday
Summary:
Earlier than you begin to design profitable web site you must have exact concept concerning the goals of your website and what all priorities you need to set as result of from the previous expertise it has been seen that plenty of ebusinesses, which ...


Keywords: design, web development, analysis, course

www.revenuecat.com | Yesterday
Summary:
Thomas Kriebernegg is Managing Director and Co Founder of App Radar 8217 s all in one ASO tool. He 8217 s an app enthusiast with over 15 years of experience in online marketing, keynote speaker, and an ex hardcore gamer. What is App Store Optimizat...


Keywords: mobile, visual, game, node, html

www.revenuecat.com | Yesterday
Summary:
Statsig is modern experimentation platform that provides insight into what your users think of new features, so you can make informed product decisions and deploy with confidence. It automatically runs A B tests on new features as theyre rolled out a...


Keywords: rust, framework, game, node, metric

www.reddit.com | Yesterday
Summary:
TLDR How do you separate section game objects meshes etc. the most ideal way for optimization draw calls I 39 ve heard about draw calls. also read on few webpages about some theory how to optimize meshes and methods funcitons to optimize draw cal...


Keywords: game

www.reddit.com | Today
Summary:
am working on OpenCEX v3.0 after my huge disappointment with how many orders can my cryptocurrency exchange execute per second. came up with more and more devious optimizations, until came up with optimistic caching. Today, while trying to optimize t...


Keywords: crypto, cryptocurrency, database, sql

martechseries.com | Today
Summary:
Company Raises 8M to Date to Help Large Marketplaces and E Commerce Businesses Increase Profitability Promoted, which is the only company to unify search, feed, ads, and promotions for top marketplaces, announced that it has raised another 6M in se...


Keywords: react, ml , design, test

arxiv.org | Yesterday
Summary:
In this paper we develop accelerated first-order methods for convex optimization with locally Lipschitz continuous gradient (LLCG), which is beyond the well-studied class of convex optimization with Lipschitz continuous gradient. In particular, we first consider unconstrained convex optimization with LLCG and propose accelerated proximal gradient (APG) methods for solving it. The proposed APG methods are equipped with a verifiable termination criterion and enjoy an operation complexity of ${\cal...


Keywords: ...

arxiv.org | Yesterday
Summary:
Challenging combinatorial optimization problems are ubiquitous in science and engineering. Several quantum methods for optimization have recently been developed, in different settings including both exact and approximate solvers. Addressing this field of research, this manuscript has three distinct purposes. First, we present an intuitive method for synthesizing and analyzing discrete (i.e., integer-based) optimization problems, wherein the problem and corresponding algorithmic primitives are ex...


Keywords: coding, algorithms, quant, design

towardsdatascience.com | Today
Summary:
Learn how to solve optimization problems in Python using scipy andpyomoPhoto by Denisse Leon onUnsplashThe knapsack problem is probably one of the first problems one faces when studying integer programming, optimization, or operations research. In th...


Keywords: scala, tpu, mathematic, python, algorithms

arxiv.org | Yesterday
Summary:
Minimum-variance portfolio optimizations rely on accurate covariance estimator to obtain optimal portfolios. However, it usually suffers from large error from sample covariance matrix when the sample size $n$ is not significantly larger than the number of assets $p$. We analyze the random matrix aspects of portfolio optimization and identify the order of errors in sample optimal portfolio weight and show portfolio risk are underestimated when using samples. We also provide LoCoV (low dimension c...


Keywords: ios

arxiv.org | Yesterday
Summary:
The adjoint method allows efficient calculation of the gradient with respect to the design variables of a topology optimization problem. This method is almost exclusively used in combination with traditional Finite-Element-Analysis, whereas Fourier-based solvers have recently shown large efficiency gains for homogenization problems. In this paper, we derive the discrete adjoint method for Fourier-based solvers that employ compatibility projection. We demonstrate the method on the optimization of...


Keywords: design, analysis

arxiv.org | Yesterday
Summary:
Many modern machine learning algorithms such as generative adversarial networks (GANs) and adversarial training can be formulated as minimax optimization. Gradient descent ascent (GDA) is the most commonly used algorithm due to its simplicity. However, GDA can converge to non-optimal minimax points. We propose a new minimax optimization framework, GDA-AM, that views the GDAdynamics as a fixed-point iteration and solves it using Anderson Mixing to con-verge to the local minimax. It addresses the ...


Keywords: framework, machine learning, algorithms, network

semiengineering.com | Today
Summary:
Domain specific logic simulation new Arm CPUs, GPUs high frequency RF MW simulation memory, AMS design Accenture buys XtremeEDA.The post Week In Review Design, Low Power appeared first on Semiconductor Engineering....


Keywords: tpu, amazon web, silicon, machine

www.revenuecat.com | Today
Summary:
Apples only current advertising offer, Apple Search Ads ASA , is part of the marketing mix of most apps running paid acquisition. started on the platform the day it launched in late 2016, spent eight digits managing budgets directly, and audited doz...


Keywords: scala, aws, fintech, api

www.reddit.com | Today
Summary:
Hey folks, know this may be frequent question but can 39 t find any thing useful. When you look at game like Valorant it can run on an integrated Intel GPU easily and smoothly on 50 FPS meaning it 39 s playable. So I 39 m making game on Unity URP ...


Keywords: game, gpu

arxiv.org | Yesterday
Summary:
This paper studies duality and optimality conditions for general convex stochastic optimization problems. The main result gives sufficient conditions for the absence of a duality gap and the existence of dual solutions in a locally convex space of random variables. It implies, in particular, the necessity of scenario-wise optimality conditions that are behind many fundamental results in operations research, stochastic optimal control and financial mathematics. Our analysis builds on the theory o...


Keywords: mathematic, analysis

arxiv.org | Yesterday
Summary:
After showing the efficiency of feedforward networks to estimate control in high dimension in the global optimization of some storages problems, we develop a modification of an algorithm based on some dynamic programming principle. We show that classical feedforward networks are not effective to estimate Bellman values for reservoir problems and we propose some neural networks giving far better results. At last, we develop a new algorithm mixing LP resolution and conditional cuts calculated by n...


Keywords: neural network, network, c programming

arxiv.org | Yesterday
Summary:
This paper studies duality and optimality conditions in general convex stochastic optimization problems introduced by Rockafellar and Wets in 1976. We derive an explicit dual problem in terms of two dual variables, one of which is the shadow price of information while the other one gives the marginal cost of a perturbation much like in classical Lagrangian duality. Existence of primal solutions and the absence of duality gap are obtained without compactness or boundedness assumptions. In the con...


Keywords: ...

www.reddit.com | Yesterday
Summary:
Im starting to think this step can be totally skipped in favor of other ML stages feature engineering, deploy, . Most of the gains Ive seen are around 1 3 at best and probably the time spent is not worth it. What do you guys think submitted by u...


Keywords: ml


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