1.

Record Nr.

UNINA990000359720403321

Autore

Myers, Glen E.

Titolo

Analytical methods in conduction heat transfer / (by) Glen E. Myers

Pubbl/distr/stampa

New York : McGraw Hill Book Co., 1971

ISBN

0-07-044215-0

Descrizione fisica

XVII,508 p. ill. 24 cm

Locazione

DETEC

DINCH

Collocazione

00 A215

00 A2400

04 013-35

Lingua di pubblicazione

Italiano

Formato

Materiale a stampa

Livello bibliografico

Monografia



2.

Record Nr.

UNINA9910785893403321

Autore

Sakaki Alexandra

Titolo

Japan and Germany as regional actors : evaluating change and continuity after the Cold War / / Alexandra Sakaki

Pubbl/distr/stampa

New York : , : Routledge, , 2013

ISBN

1-283-60621-6

9786613918666

1-136-25100-6

0-203-10478-1

Descrizione fisica

1 online resource (224 p.)

Collana

Politics in Asia series

Disciplina

327.43

Soggetti

Comparative government

Japan Foreign relations 1989-

Germany Foreign relations 1990-

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Description based upon print version of record.

Nota di bibliografia

Includes bibliographical references (p. [153]-202) and index.

Nota di contenuto

Front Cover; Japan and Germany as Regional Actors; Copyright Page; Contents; Acknowledgements; List of abbreviations and special terms; Introduction; 1. Theoretical and methodological frameworks; 2. Role conceptions in German and Japanese speeches; 3. German and Japanese missile defence policies; 4. Policies on textbook talks: comparing German-Polish and Japanese-South Korean dialogue; 5. Conclusion; Notes; References; Index

Sommario/riassunto

The end of the Cold War and the bipolar era constituted a significant change in Germany's and Japan's foreign policy settings, granting both countries greater leeway to pursue policies divergent from Washington's strategy. This important book fills a gap in the existing literature by employing an explicitly comparative framework for analyzing and evaluating Germany's and Japan's post-Cold War regional foreign policy trajectories. Recent non-comparative studies diverge in their assessments of the extent to which the two countries' foreign policies are characterized by continuity or change, a



3.

Record Nr.

UNINA9911034866003321

Autore

Shi Chenyang

Titolo

Mastering Algorithms with Python : A Practical Approach to Problem Solving and Python Implementation / / by Chenyang Shi

Pubbl/distr/stampa

Berkeley, CA : , : Apress : , : Imprint : Apress, , 2025

ISBN

979-88-6881-799-1

Edizione

[1st ed. 2025.]

Descrizione fisica

1 online resource (228 pages)

Collana

Professional and Applied Computing Series

Disciplina

005.13

Soggetti

Distributed algorithms

Python (Computer program language)

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Description based upon print version of record.

Nota di contenuto

Chapter 1: Recursion -- Chapter 2: Divide and Conquer -- Chapter 3: Greedy Algorithm -- Chapter 4: Dynamic Programming -- Chapter 5: RSA Cryptosystem -- Chapter 6: Monte Carlo -- Chapter 7: A Tale of Ten Cities -- Chapter 8: Chess -- Appendix: A Quick Review of Python -- Appendix B: Environment Setup and Package Installation -- Appendix C: References.

Sommario/riassunto

Gain a solid understanding of algorithms and improve your problem-solving abilities using Python code. With practical examples and clear explanations, this book bridges the gap between dense academic texts and overly simple industry guides. Focusing on the logic behind essential algorithms such as Breadth First Search (BFS), Depth First Search (DFS), Divide-and-Conquer, Greedy Methods, and Dynamic Programming, the book provides ample examples, from easy to more advanced. By connecting these concepts to real-world examples, such as chess strategies and the Seam Carving, the book helps readers better grasp and apply algorithms. Each chapter also includes fully implemented Python code, making it a practical reference. Mastering Algorithms with Python is ideal for IT professionals looking to enhance their skills and approach algorithms with clarity and confidence. What You Will Learn · Understand foundational algorithms such as BFS, DFS, Divide-and-Conquer, Greedy Methods, Dynamic Programming through practical examples · Implement algorithms in Python with step-by-step guidance and fully functional code for future reference · Build a solid



foundation in advanced concepts such as Minimum Spanning Trees, Fast Fourier Transform, and Monte Carlo Tree Search · Quickly review Python essentials, including data types, flow control, generators, decorators, and classes to enhance your algorithmic understanding.