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Analyzing simple and natural price-adjustment processes that converge to a market equilibrium is a fundamental question in economics. Such an analysis may have implications in economic theory, computational economics, and distributed…

Computer Science and Game Theory · Computer Science 2015-04-21 Noa Avigdor-Elgrabli , Yuval Rabani , Gala Yadgar

A prevalent theme in the economics and computation literature is to identify natural price-adjustment processes by which sellers and buyers in a market can discover equilibrium prices. An example of such a process is t\^atonnement, an…

Computer Science and Game Theory · Computer Science 2025-03-04 Denizalp Goktas , Jiayi Zhao , Amy Greenwald

In this paper, we initiate the study of t\^atonnement dynamics in markets with chores. T\^atonnement is a fundamental market dynamics, capturing how prices evolve when they are adjusted in proportion of their excess demand. While its…

Computer Science and Game Theory · Computer Science 2025-11-27 Bhaskar Ray Chaudhury , Christian Kroer , Ruta Mehta , Tianlong Nan

T\^atonnement is a simple, intuitive market process where prices are iteratively adjusted based on the difference between demand and supply. Many variants under different market assumptions have been studied and shown to converge to a…

Computer Science and Game Theory · Computer Science 2025-02-18 Tianlong Nan , Yuan Gao , Christian Kroer

We present the first polynomial time algorithm for computing Walrasian equilibrium in an economy with indivisible goods and \emph{general} buyer valuations having only access to an \emph{aggregate demand oracle}, i.e., an oracle that given…

Computer Science and Game Theory · Computer Science 2016-04-06 Renato Paes Leme , Sam Chiu-wai Wong

We show an auction-based algorithm to compute market equilibrium prices in a production model, where consumers purchase items under separable nonlinear utility concave functions which satisfy W.G.S(Weak Gross Substitutes); producers produce…

Computer Science and Game Theory · Computer Science 2016-11-26 Junghwan Shin , Sanjiv Kapoor

Yang et al. (2023) recently showed how to use first-order gradient methods to solve general variational inequalities (VIs) under a limiting assumption that analytic solutions of specific subproblems are available. In this paper, we…

Machine Learning · Statistics 2024-08-06 Tatjana Chavdarova , Tong Yang , Matteo Pagliardini , Michael I. Jordan

We study a combinatorial market design problem, where a collection of indivisible objects is to be priced and sold to potential buyers subject to equilibrium constraints.The classic solution concept for such problems is Walrasian…

Computer Science and Game Theory · Computer Science 2013-04-09 Michal Feldman , Nick Gravin , Brendan Lucier

We design a simple ascending-price algorithm to compute a $(1+\varepsilon)$-approximate equilibrium in Arrow-Debreu exchange markets with weak gross substitute (WGS) property, which runs in time polynomial in market parameters and $\log…

Computer Science and Game Theory · Computer Science 2016-05-31 Xiaohui Bei , Jugal Garg , Martin Hoefer

Nonconvex-nonconcave saddle-point optimization in machine learning has triggered lots of research for studying non-monotone variational inequalities (VI). In this work, we introduce two mirror frameworks, called mirror extragradient method…

Optimization and Control · Mathematics 2023-01-02 Hui Zhang , Yu-Hong Dai

We consider the stochastic variational inequality problem in which the map is expectation-valued in a component-wise sense. Much of the available convergence theory and rate statements for stochastic approximation schemes are limited to…

Optimization and Control · Mathematics 2019-11-25 Aswin Kannan , Uday V. Shanbhag

We propose a new methodology to compute equilibria for general equilibrium problems on exchange economies with real financial markets, home-production, and retention. We demonstrate that equilibrium prices can be determined by solving a…

Optimization and Control · Mathematics 2025-06-23 Julio Deride

This paper proposes an alternative to the classical price-adjustment mechanism (called "t\^{a}tonnement" after Walras) that is second-order in time. The proposed mechanism, an analogue to the damped harmonic oscillator, provides a dynamic…

General Finance · Quantitative Finance 2011-08-25 Eric Kemp-Benedict

We consider the resource allocation problem and its numerical solution. The following constructions are demonstrated: 1) Walrasian price-adjustment mechanism for determining the equilibrium; 2) Decentralized role of the prices; 3) Slater's…

Optimization and Control · Mathematics 2020-03-27 Anastasiya Ivanova , Alexander Gasnikov , Evgeni Nurminski , Evgeniya Vorontsova

We establish a general equilibrium theory for systems of large language model (LLM) agents operating under centralized orchestration. The framework is a production economy in the sense of Arrow-Debreu (1954), extended to…

Computer Science and Game Theory · Computer Science 2026-02-26 Jean-Philippe Garnier

Multi-unit auctions are a paradigmatic model, where a seller brings multiple units of a good, while several buyers bring monetary endowments. It is well known that Walrasian equilibria do not always exist in this model, however compelling…

Computer Science and Game Theory · Computer Science 2017-10-10 Simina Brânzei , Aris Filos-Ratsikas , Peter Bro Miltersen , Yulong Zeng

Equilibrium problems in Bayesian auction games can be described as systems of differential equations. Depending on the model assumptions, these equations might be such that we do not have a rigorous mathematical solution theory. The lack of…

Computer Science and Game Theory · Computer Science 2024-12-18 Martin Bichler , Stephan B. Lunowa , Matthias Oberlechner , Fabian R. Pieroth , Barbara Wohlmuth

The t\^atonnement process and Smale's process are two classical approaches to compute market equilibrium in exchange economies. While the t\^atonnement process can be seen as a first-order method, Smale's process, being second-order, is…

Optimization and Control · Mathematics 2025-09-30 Chuwen Zhang , Chang He , Bo Jiang , Yinyu Ye

Solving (Stampacchia) variational inequalities (SVIs) is a foundational problem at the heart of optimization. However, this expressivity comes at the cost of computational hardness. As a result, most research has focused on carving out…

Optimization and Control · Mathematics 2026-04-03 Ioannis Anagnostides , Gabriele Farina , Tuomas Sandholm , Brian Hu Zhang

We propose an algorithm to solve quasi-variational inequality problems, based on the Dantzig-Wolfe decomposition paradigm. Our approach solves in the subproblems variational inequalities, which is a simpler problem, while restricting…

Optimization and Control · Mathematics 2026-02-02 Manoel Jardim , Claudia Sagastizábal , Mikhail Solodov
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