Pattern matching (PM) was first introduced as the semiconductor industry began to shift from simple one-dimensional rule checks to the two-dimensional checks required by sub-resolution lithography.
Python, for all its power and popularity, has long lacked a form of flow control found in other languages—a way to take a value and match it elegantly against one of a number of possible conditions.
Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Traditional caching fails to stop "thundering ...
Learn how to use pattern-matching features in your Java programs, including pattern matching with switch statements, when clauses, sealed classes, and a preview of primitive type pattern matching in ...
Experienced Java developers are committed to continuous improvement. We always seek ways to make our code more readable, reliable and efficient. Java's evolution provides a steady stream of powerful ...
Introduced with the Java 17 release, pattern matching enhances the instanceof operator so Java developers can better check and object's type and extract its components, and more efficiently deal with ...
Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Cory Benfield discusses the evolution of ...
Fast LFD Flows With Pattern Matching And Machine Learning Can Deliver Higher-Yielding Designs Faster
A lithographic (litho) hotspot is a defect on a wafer that is created during manufacturing by a combination of systematic process variation and resolution enhancement technology (RET) limitations.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results