Opening book details…
Can I read Structure of Solutions of Variational Problems (SpringerBriefs in Optimization) on EtoBox?
Structure of Solutions of Variational Problems (SpringerBriefs in Optimization) by Alexander J. Zaslavski is a mathematics available to read on EtoBox.
What is Structure of Solutions of Variational Problems (SpringerBriefs in Optimization) about?
Structure of Solutions of Variational Problems is devoted to recent progress made in the studies of the structure of approximate solutions of variational problems considered on subintervals of a real line. Results on properties of approximate solutions which are independent of the length of the interval, for all sufficiently large intervals are presented in a clear manner. Solutions, new approaches, techniques and methods to a number of difficult problems in the calculus of variations are illus
Who reads Structure of Solutions of Variational Problems (SpringerBriefs in Optimization)?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Alexander J. Zaslavski
- Publisher
- Springer New York : Imprint : Springer
- Published
- 2013
- Language
- EN
- ISBN
- 9781461463863
- Category
- mathematics
- Subjects
- Mathematics, Stem
- Updated
- 2026-03-25
More by Alexander J. Zaslavski
Browse all works by Alexander J. Zaslavski
Similar books
- Structure Of Approximate Solutions Of Optimal Control Problems (springerbriefs In Optimization) — Alexander J. Zaslavski (2013)
- Stability of the Turnpike Phenomenon in Discrete-Time Optimal Control Problems (SpringerBriefs in Optimization) — Alexander J. Zaslavski (auth.) (2014)
- Equilibrium Problems And Variational Models (nonconvex Optimization And Its Applications (closed)) — Qamrul Hasan Ansari, Jen-Chih Yao (auth.), Patrizia Daniele, Franco Giannessi, Antonino Maugeri (2003)
- Equilibrium Problems: Nonsmooth Optimization and Variational Inequality Models (Nonconvex Optimization and Its Applications (58)) — edited by Franco Giannessi, Antonino Maugeri, and Panos M. Pardalos (2004)
- Finance – Fundamental Problems and Solutions (SpringerBriefs in Business) — Zhiqiang Zhang (auth.) (2013)
- The Projected Subgradient Algorithm in Convex Optimization (SpringerBriefs in Optimization) — Alexander J. Zaslavski (2020)
