NUMERICAL FUNCTIONAL ANALYSIS AND OPTIMIZATION

期刊基本信息

期刊名称：NUMERICAL FUNCTIONAL ANALYSIS AND OPTIMIZATION

出版国家或地区：UNITED STATES

是否OA：No

期刊ISSN：0163-0563

期刊官方网站：http://www.tandfonline.com/toc/lnfa20/current#.U1i5GT-Sx24

期刊投稿网址：http://mc.manuscriptcentral.com/lnfa

通讯方式：TAYLOR & FRANCIS INC, 325 CHESTNUT ST, SUITE 800, PHILADELPHIA, USA, PA, 19106

涉及的研究方向：数学-应用数学

出版周期：Bimonthly

期刊数据表：

NUMERICAL FUNCTIONAL ANALYSIS AND OPTIMIZATION英文简介：

Numerical Functional Analysis and Optimization is a journal aimed at development and applications of functional analysis and operator-theoretic methods in numerical analysis, optimization and approximation theory, control theory, signal and image processing, inverse and ill-posed problems, applied and computational harmonic analysis, operator equations, and nonlinear functional analysis. Not all high-quality papers within the union of these fields are within the scope of NFAO. Generalizations and abstractions that significantly advance their fields and reinforce the concrete by providing new insight and important results for problems arising from applications are welcome. On the other hand, technical generalizations for their own sake with window dressing about applications, or variants of known results and algorithms, are not suitable for this journal. Numerical Functional Analysis and Optimization publishes about 70 papers per year. It is our current policy to limit consideration to one submitted paper by any author/co-author per two consecutive years. Exception will be made for seminal papers.

NUMERICAL FUNCTIONAL ANALYSIS AND OPTIMIZATION中文简介：

《数值泛函分析与优化》是一本研究泛函分析与算子理论方法在数值分析、优化与逼近理论、控制理论、信号与图像处理、逆问题与不适定问题、应用与计算调和分析、算子方程、非线性泛函分析等方面的发展与应用的期刊。并非所有这些领域联盟内的高质量论文都属于NFAO的范围。通过为应用程序中出现的问题提供新的见解和重要的结果，可以显著地推进其领域和增强具体内容的概括和抽象是受欢迎的。另一方面，为了粉饰应用程序或已知结果和算法的变体而进行的技术概括并不适合本杂志。《数值泛函分析与优化》每年发表论文70余篇。我们目前的政策是，每两年只考虑一位作者/合著者提交的一篇论文。开创性论文除外。

NUMERICAL FUNCTIONAL ANALYSIS AND OPTIMIZATION在线问答：