High performance computing in heterogeneous environments is a dynamically developing area. A number of highly efficient heterogeneous parallel algorithms have been designed over last decade. At the ...

The algorithm is first evaluated using "pen and paper". It is then adapted into a spreadsheet, before finally being ported to Python. This example also allows us to introduce basic programming ...

Find examples, algorithms, software, and resources. Learn how to use optimization and linear programming to solve problems in science and engineering. Sign in to view more content ...

The class will cover sorting, searching, graph algorithms, and computational geometry, and study how the algorithms can be used in practice for various applications in graphics, computer vision, and ...

99% of computer end users do not know programming, and struggle with repetitive tasks. Programming by Examples (PBE) can revolutionize this landscape by enabling users to synthesize intended programs ...

Programming Big Data Applications introduces and discusses models, programming frameworks and algorithms to process and analyze large amounts of data. In particular, the book provides an in-depth ...

Dynamic programming algorithms are a good place to start understanding what's really going on inside computational biology software. The heart of many well-known programs is a dynamic programming ...

Overview. 15-210 aims to teach methods for designing, analyzing, and programming sequential and parallel algorithms and data structures. The emphasis is on teaching fundamental concepts applicable ...

High performance computing in heterogeneous environments is a dynamically developing area. A number of highly efficient heterogeneous parallel algorithms have been designed over last decade. At the ...