Computer science - Algorithms, Complexity, Programming: An algorithm is a specific procedure for solving a well-defined computational problem. The development and analysis of algorithms is fundamental to all aspects of computer science: artificial intell
Other issues like integration, product capabilities, even the learning curve and level of complexity will need to be considered (will we need to hire specialist engineers or can our existing team pick it up quickly?). Perhaps that all sounds obvious, but too often we forget that this is ...
Big O of Space Complexity Trade-Offs Between Time and Space The Hidden Cost of Recursion Wrapping Up Exercises Techniques for Code Optimization Prerequisite: Determine Your Current Big O Start Here: The Best-Imaginable Big O Magical Lookups
As is often the case in computing, manipulating low-level primitives to implement complex operations opens the door to mistakes, and as such, developers should seek to encapsulate complexity within efficient, higher-level libraries. Java SE 5 provided us with just that ability. Rich Primitives with...
Kolmogorov Complexity—A PrimerApril 21, 2012 Classic Nintendo Games are NP-HardMarch 22, 2012 Learning Programming — Finger-Painting and Killing ZombiesMarch 15, 2012 Fundamental Theorem of Algebra (With Picard's Little Theorem)February 7, 2012 Cryptanalysis with N-GramsFebruary 3, 2012 The Funda...
Creating functions using formal exception handling can greatly reduce code complexity on both the server and client side. Without exceptions, functions must define and return some invalid value in place of a valid one just in case preconditions are not met. This can be problematic since defining ...
-problem with unequal weights whose entire solution path can be computed in strongly polynomial time. nonetheless, we point out that a simple application of the aforementioned ideas would result in a prohibitive complexity of approximately \(\mathcal {o}(n^7)\) to compute the solution path. 5...
The Complexity Wall High-performance microprocessors use heroic out-of-order execution to exploit instruction-level parallelism within a thread. But there are practical limits to further big gains from this approach. The serial code itself and its data dependences limit the parallelism that can be...
Red is a programming language strongly inspired by Rebol, but with a broader field of usage thanks to its native-code compiler, from system programming to high-level scripting, while providing modern support for concurrency and multi-core CPUs. Red tackles the software building complexity using a...
The Art of Insight in Science and Engineering: Mastering Complexity by Sanjoy Mahajan The Fundamentals of Control Theory by Brian Douglas The Missing Semester of Your CS Education The Nature of Code a book about how can we capture the unpredictable evolutionary and emergent properties of nature...