Tìm kiếm nâng cao

Current filters:
Current filters:

Search Results

Item hits:
  • Book


  • Authors : Lahiri, Shuvendu K. (2020)

  • Model Checking Automata Tutor v3, Seminator 2 Can Complement Generalized Büchi Automata via Improved Semi-determinization, RTLola Cleared for Take-Off: Monitoring Autonomous Aircraft, Software Verification Code2Inv: A Deep Learning Framework for Program Verification. Stochastic Systems Maximum Causal Entropy Specification Inference from Demonstrations. Certifying Certainty and Uncertainty in Approximate Membership Query Structures. Synthesis Good-Enough Synthesis, Synthesizing JIT Compilers ...

  • Book


  • Authors : Bungartz, Hans-Joachim (2020)

  • Part I SPPEXA: The Priority Program, Software for Exascale Computing: Some Remarks on the Priority Program SPPEXA, A Perspective on the SPPEXA Collaboration from France, A Perspective on the SPPEXA Collaboration from Japan. Part II SPPEXA Project Consortia Reports ADA-FS—Advanced Data Placement via Ad hoc File Systems at Extreme Scales, AIMES: Advanced Computation and I/O Methods for Earth-System Simulations, DASH: Distributed Data Structures and Parallel&#x...

  • Book


  • Authors : Ram, Mangey (2020)

  • Soft computing is used where a complex problem is not adequately specified for the use of conventional math and computer techniques. Soft computing has numerous real-world applications in domestic, commercial and industrial situations. This book elaborates on the most recent applications in various fields of engineering

  • Book


  • Authors : Linge, Svein (2016)

  • This book presents computer programming as a key method for solving mathematical problems. There are two versions of the book, one for MATLAB and one for Python. The book was inspired by the Springer book TCSE 6: A Primer on Scientific Programming with Python (by Langtangen), but the style is more accessible and concise, in keeping with the needs of engineering students. The book outlines the shortest possible path from no previous&#x...

  • Book


  • Authors : Sundnes, Joakim (2020)

  • This open access book offers an initial introduction to programming for scientific and computational applications using the Python programming language. The presentation style is compact and example-based, making it suitable for students and researchers with little or no prior experience in programming. The book uses relevant examples from mathematics and the natural sciences to present programming as a practical toolbox that can quickly enable readers to wri...