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Collection de Mathématiques pour Étudiants Licence Springer

Cette série offre une approche fraîche et moderne des concepts mathématiques essentiels pour les étudiants de premier cycle. Couvrant tout, du matériel fondamental aux sujets avancés, les manuels s'adressent aux étudiants en mathématiques et en sciences. Chaque volume est riche en exemples, problèmes et solutions entièrement résolues, abordant spécifiquement les domaines de difficulté courants. Ces textes pratiques et concis conviennent aussi bien aux cours semestriels qu'à l'étude indépendante.

Mathematica®: A Problem-Centered Approach
Regression
Essential Topology
Worlds Out of Nothing
Derivative Pricing in Discrete Time
Mathematics for Finance

Ordre de lecture recommandé

  • This book provides an introduction to the mathematical modelling of real world financial markets and the rational pricing of derivatives, which is part of the theory that not only underpins modern financial practice but is a thriving area of mathematical research.

    Derivative Pricing in Discrete Time
  • Worlds Out of Nothing

    • 384pages
    • 14 heures de lecture
    3,7(3)Évaluer

    Based on the latest historical research, Worlds Out of Nothing is the first book to provide a course on the history of geometry in the 19th century. Topics include projective geometry, especially the concept of duality, non- Euclidean geometry, and more.

    Worlds Out of Nothing
  • Essential Topology

    • 224pages
    • 8 heures de lecture
    4,0(13)Évaluer

    This book brings the most important aspects of modern topology within reach of a second-year undergraduate student. It successfully unites the most exciting aspects of modern topology with those that are most useful for research. The book is ideal for self-study.

    Essential Topology
  • Regression

    Linear Models in Statistics

    • 284pages
    • 10 heures de lecture

    The book explores the concept of regression in statistics, focusing on modeling a dependent variable as a linear combination of multiple predictor variables along with random error. It emphasizes the necessity of grasping one-dimensional statistics as a foundation for understanding the inherently multi-dimensional nature of regression analysis.

    Regression
  • "The Springer Undergraduate Mathematics Series (SUMS) is designed for undergraduates in the mathematical sciences. From core foundational material to final year topics, SUMS books take a fresh and modern approach and are ideal for self-study or for a one-or two-semester course. Each book includes numerous examples, problems and fully-worked solutions." "Mathematica: A Problem-Centered Approach introduces the vast array of features and powerful mathematical functions of Mathematica using a multitude of clearly presented examples and worked-out problems. Each section starts with a description of a new topic and some basic examples." "The intention is to enable the reader to learn from the codes, thus avoiding long and exhausting explanations." "While based on a computer algebra course taught to undergraduate students of mathematics, science, engineering and finance, the book also includes chapters on calculus and solving equations, and graphics, thus covering all the basic topics in Mathematica. With its strong focus upon programming and problem solving, and an emphasis on using numerical problems that do not need any particular background in mathematics, this book is also ideal for self-study and as an introduction to researchers who wish to use Mathematica as a computational tool." "Mathematica: A Problem-Centered Approach comes with a free 30 day trial of the Wolfram Mathematica software"--Jacket

    Mathematica®: A Problem-Centered Approach