Hijab omar (20 Ergebnisse)

Zustand: New. Brand New. Soft Cover International Edition. Different ISBN and Cover Image. Priced lower than the standard editions which is usually intended to make them more affordable for students abroad. The core content of the book is generally the same as the standard edition. The country selling restrictions may be printed on the book but is no problem for the self-use. This Item maybe shipped from US or any other country as we have multiple locations worldwide.…

Hardcover. Zustand: Very Good. 2nd ed. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.

Zustand: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.

Zustand: New. pp. 440.

Zustand: New. pp. 427.

Hardcover. Zustand: Sehr gut. N.Y., Springer (1997). gr.8°. 68 figs. XII, 313 p. Hardbound. Undergraduate Texts in Mathematics.- With exercises and solutions.- 5 pages with coloured annotations, otherwise like new.

Zustand: Used. pp. 313.

1. 326 p. Unread book. Like new! 9780387949260 Sprache: Englisch Gewicht in Gramm: 635 Hardcover: 15.6 x 2.1 x 23.4 cm.

Zustand: New. In English.

Zustand: Very Good. Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

Hardcover. Zustand: Brand New. 4th ed. 2016 edition. 427 pages. French language. 9.50x6.50x1.25 inches. In Stock.

Zustand: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.

Zustand: Very Good. Very Good condition. A copy that may have a few cosmetic defects. May also contain light spine creasing or a few markings such as an owner's name, short gifter's inscription or light stamp.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Involving rigorous analysis, computational dexterity, and a breadth of applications, this text is ideal for an undergraduate honors calculus course or for an introduction to analysis. This fourth edition includes corrections as well as some additional material.Some features of the text:-The text is completely self-contained and starts with the real number axioms;-The integral is defined as the area under the graph, while the area is defined for every subset of the plane;-There is a heavy emphasis on computational problems, from the high-school quadratic formula to the formula for the derivative of the zeta function at zero;-There are applications from many parts of analysis, e.g., convexity, the Cantor set, continued fractions, the AGM, the theta and zeta functions, transcendental numbers, the Bessel and gamma functions, and many more;-Traditionally transcendentally presented material, such as infinite products, the Bernoulli series, and the zeta functional equation, is developed over the reals;-self-contained treatment of the fundamental theorems of calculus in the general case using the Sunrise Lemma-There are 450 problems with all the solutions at the back of the text.Reviews from previous editions:'This is a very intriguing, decidedly unusual, and very satisfying treatment of calculus and introductory analysis. It's full of quirky little approaches to standard topics that make one wonder over and over again, 'Why is it never done like this ''-John Allen Paulos, author of Innumeracy and A Mathematician Reads the Newspaper'Chapter 5 is. an astonishing tour de force'-Steven G. Krantz, The American Mathematical Monthly'For a treatment [of infinite products and the Bernoulli series] that is very close to Euler's and even more elementary.' - V.S. Varadarajan, Bulletin of the American Mathematical Society.…

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Involving rigorous analysis, computational dexterity, and a breadth of applications, this text is ideal for an undergraduate honors calculus course or for an introduction to analysis. This fourth edition includes corrections as well as some additional material.Some features of the text:-The text is completely self-contained and starts with the real number axioms;-The integral is defined as the area under the graph, while the area is defined for every subset of the plane;-There is a heavy emphasis on computational problems, from the high-school quadratic formula to the formula for the derivative of the zeta function at zero;-There are applications from many parts of analysis, e.g., convexity, the Cantor set, continued fractions, the AGM, the theta and zeta functions, transcendental numbers, the Bessel and gamma functions, and many more;-Traditionally transcendentally presented material, such as infinite products, the Bernoulli series, and the zeta functional equation, is developed over the reals;-self-contained treatment of the fundamental theorems of calculus in the general case using the Sunrise Lemma-There are 450 problems with all the solutions at the back of the text.Reviews from previous editions:'This is a very intriguing, decidedly unusual, and very satisfying treatment of calculus and introductory analysis. It's full of quirky little approaches to standard topics that make one wonder over and over again, 'Why is it never done like this ''-John Allen Paulos, author of Innumeracy and A Mathematician Reads the Newspaper'Chapter 5 is. an astonishing tour de force'-Steven G. Krantz, The American Mathematical Monthly'For a treatment [of infinite products and the Bernoulli series] that is very close to Euler's and even more elementary.' - V.S. Varadarajan, Bulletin of the American Mathematical Society.…

Zustand: New.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Math for Data Science presents the mathematical foundations necessary for studying and working in Data Science. The book is suitable for courses in applied mathematics, business analytics, computer science, data science, and engineering. The text covers the portions of linear algebra, calculus, probability, and statistics prerequisite to Data Science. The highlight of the book is the machine learning chapter, where the results of the previous chapters are applied to neural network training and stochastic gradient descent. Also included in this last chapter are advanced topics such as accelerated gradient descent and logistic regression trainability.Clear examples are supported with detailed figures and Python code; Jupyter not Elektronisches Buch and supporting files are available on the author's website. More than 380 exercises and nine detailed appendices covering background elementary material are provided to aid understanding. The book begins at a gentle pace, by focusing on two-dimensional datasets. As the text progresses, foundational topics are expanded upon, leading to deeper results at a more advanced level. …

Taschenbuch. Zustand: Neu. Introduction to Calculus and Classical Analysis | Omar Hijab | Taschenbuch | Undergraduate Texts in Mathematics | xiii | Englisch | 2018 | Springer | EAN 9783319803456 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. …

Taschenbuch. Zustand: Neu. Math for Data Science | Omar Hijab | Taschenbuch | xv | Englisch | 2026 | Springer | EAN 9783031897092 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Math for Data Science presents the mathematical foundations necessary for studying and working in Data Science. The book is suitable for courses in applied mathematics, business analytics, computer science, data science, and engineering. The text covers the portions of linear algebra, calculus, probability, and statistics prerequisite to Data Science. The highlight of the book is the machine learning chapter, where the results of the previous chapters are applied to neural network training and stochastic gradient descent. Also included in this last chapter are advanced topics such as accelerated gradient descent and logistic regression trainability.Clear examples are supported with detailed figures and Python code; Jupyter not Elektronisches Buch and supporting files are available on the author's website. More than 380 exercises and nine detailed appendices covering background elementary material are provided to aid understanding. The book begins at a gentle pace, by focusing on two-dimensional datasets. As the text progresses, foundational topics are expanded upon, leading to deeper results at a more advanced level.…