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In decision-making, maxitive functions are used for worst-case and best-case evaluations. Maxitivity gives rise to a rich structure that is well-studied in the context of the pointwise order. In this article, we investigate maxitivity with…

Statistics Theory · Mathematics 2025-03-05 M. Kupper , J. M. Zapata

In this paper we propose efficient methods for elicitation of complexly structured preferences and utilize these in problems of decision making under (severe) uncertainty. Based on the general framework introduced in Jansen, Schollmeyer and…

Artificial Intelligence · Computer Science 2022-02-02 Christoph Jansen , Hannah Blocher , Thomas Augustin , Georg Schollmeyer

Approximations of functions with finite data often do not respect certain "structural" properties of the functions. For example, if a given function is non-negative, a polynomial approximation of the function is not necessarily also…

Numerical Analysis · Mathematics 2020-08-20 Vidhi Zala , Robert M. Kirby , Akil Narayan

Learning from Preferential Feedback (LfPF) plays an essential role in training Large Language Models, as well as certain types of interactive learning agents. However, a substantial gap exists between the theory and application of LfPF…

Machine Learning · Computer Science 2024-03-29 Jonathan Colaço Carr , Prakash Panangaden , Doina Precup

We study a method for calculating the utility function from a candidate of a demand function that is not differentiable, but is locally Lipschitz. Using this method, we obtain two new necessary and sufficient conditions for a candidate of a…

Theoretical Economics · Economics 2024-04-02 Yuhki Hosoya

Direct search is one of the most popular derivative-free optimization paradigms, that relies on exploring the variable space using polling directions. To analyze and implement direct search, one typically relies on positive spanning sets.…

Optimization and Control · Mathematics 2026-05-28 Lindon Roberts , Clément W. Royer

We consider the problem of maximizing a convex function over a closed convex set in a real Hilbert space. For linear functions, we show that a single orthogonal projection suffices to obtain an approximate solution. For continuous convex…

Optimization and Control · Mathematics 2026-02-23 Pedro Felzenszwalb , Heon Lee

The use of function contracts to specify the behavior of functions often remains limited to the scope of a single function call. Relational properties link several function calls together within a single specification. They can express more…

Software Engineering · Computer Science 2022-05-18 Lionel Blatter , Nikolai Kosmatov , Virgile Prevosto , Pascale Le Gall

We provide necessary and sufficient conditions for robust efficiency (in the sense of Ehrgott et al. (2014)) to multiobjective optimization problems that depend on uncertain parameters. These conditions state that a solution is robust…

Optimization and Control · Mathematics 2017-05-30 Rasmus Bokrantz , Albin Fredriksson

An experimenter seeks to learn a subject's preference relation. The experimenter produces pairs of alternatives. For each pair, the subject is asked to choose. We argue that, in general, large but finite data do not give close…

Theoretical Economics · Economics 2018-08-01 Christopher P. Chambers , Federico Echenique , Nicolas S. Lambert

In this paper we show how the superquadratic functions can be used as a tool for researching other types of convex functions like $\phi $-convexity, strong-convexity and uniform convexity. We show how to use inequalities satisfied by…

Functional Analysis · Mathematics 2024-08-15 Shoshana Abramovich

Facing an unknown situation, a person may not be able to firmly elicit his/her preferences over different alternatives, so he/she tends to express uncertain preferences. Given a community of different persons expressing their preferences…

Artificial Intelligence · Computer Science 2017-08-11 Yiru Zhang , Tassadit Bouadi , Arnaud Martin

We analyze worst-case convergence guarantees of first-order optimization methods over a function class extending that of smooth and convex functions. This class contains convex functions that admit a simple quadratic upper bound. Its study…

Optimization and Control · Mathematics 2022-05-31 Baptiste Goujaud , Adrien Taylor , Aymeric Dieuleveut

In this paper, we study the continuity of expected utility functions, and derive a necessary and sufficient condition for a weak order on the space of simple probabilities to have a continuous expected utility function. We also verify that…

Theoretical Economics · Economics 2025-05-19 Yuhki Hosoya

We give a sufficient condition for the strict parabolic power concavity of the convolution in space variable of a function defined on $\mathbb{R}^n \times (0,+\infty)$ and a function defined on $\mathbb{R}^n$. Since the strict parabolic…

Analysis of PDEs · Mathematics 2021-05-13 Jun O'Hara , Shigehiro Sakata

The necessary and sufficient conditions for differentiability of a function of several real variables stated and proved and its ramifications discussed.

Classical Analysis and ODEs · Mathematics 2007-05-23 R. P. Venkataraman

We investigate Gale's important paper published in 1960. This paper contains an example of a candidate of the demand function that satisfies the weak axiom of revealed preference and that is doubtful that it is a demand function of some…

Theoretical Economics · Economics 2025-07-15 Yuhki Hosoya

Necessary and sufficient conditions for the interlacing of the zeros of cylinder functions and their derivatives of different orders are given.

Classical Analysis and ODEs · Mathematics 2013-05-27 Tamas Palmai

Necessary and sufficient conditions for finite semihypergroups to be built from groups of the same order are established

Representation Theory · Mathematics 2017-03-06 Stan Onypchuk

We prove some new properties of fidelity (transition probability) and concurrence, the latter defined by straightforward extension of Wootters notation. Choose a conjugation and consider the dependence of fidelity or of concurrence on…

Quantum Physics · Physics 2009-10-31 Armin Uhlmann