صورة الغلاف

Concise Guide to Numerical Algorithmics The Foundations and Spirit of Scientific Computing /

Numerical Algorithmic Science and Engineering (NAS&E), or more compactly, Numerical Algorithmics, is the theoretical and empirical study and the practical implementation and application of algorithms for solving finite-dimensional problems of a numeric nature. The variables of such problems are...

وصف كامل

محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: Nazareth, John Lawrence (مؤلف)
مؤلف مشترك: SpringerLink (Online service)
التنسيق: الكتروني كتاب الكتروني
اللغة:الإنجليزية
منشور في: Cham : Springer International Publishing : Imprint: Springer, 2023.
الطبعة:1st ed. 2023.
سلاسل:SpringerBriefs in Computer Science,
الموضوعات:
Algorithms.
Numerical analysis.
Computer science.
Mathematics > Data processing.
Computer science > Mathematics.
Discrete mathematics.
Operations research.
Design and Analysis of Algorithms.
Numerical Analysis.
Theory and Algorithms for Application Domains.
Computational Mathematics and Numerical Analysis.
Discrete Mathematics in Computer Science.
Operations Research and Decision Theory.
الوصول للمادة أونلاين:https://doi.org/10.1007/978-3-031-21762-3
الوسوم: إضافة وسم
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
جدول المحتويات:
  • PART I: RATIONALE AND FOUNDATIONS
  • The discussion here is premised on the paper that accompanies this proposal.
  • Chapter 1: Algorithmics---The Spirit of Computing
  • Chapter 2: Number
  • -The Language of Science
  • Chapter 3: Bringing Number Under the Rubric of Algorithm
  • PART II: NUMERICAL ALGORITHMIC SCIENCE
  • Chapter 4: Algorithms on Graphs and Networks
  • Chapter 5: Uni-Dimensional Equation-Solving and Optimization
  • Chapter 6: Matrix-Based and Tensor-Based Computations
  • Chapter 7: Linear Programming before the 1984 Revolution
  • Chapter 8: Unconstrained Nonlinear Optimization
  • Chapter 9: Nonlinear Equation-Solving
  • Chapter 10: Constrained Nonlinear Optimization
  • Chapter 11: Linear Programming after the 1984 Revolution
  • Chapter 12: The Many Other Facets of Numerical Algorithmics
  • PART III: CONVERGENCE, COMPLEXITY, AND NUMERICAL ERROR
  • Chapter 13: Global Convergence and Asymptotic Rate-of-Convergence
  • Chapter 14: Complexity Classes and Analysis
  • Chapter 15: Roundoff-ErrorAnalysis
  • PART IV: NUMERICAL ALGORITHMIC ENGINEERING
  • Chapter 16: Languages and Systems
  • Chapter 17: Implementation Techniques and Software Development.

مواد مشابهة