Conclusions Advantages of higher-order functions ...

ePAPER READ

DOWNLOAD ePAPER

ptolemy.eecs.berkeley.edu

You also want an ePaper? Increase the reach of your titles

YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.

START NOW

Higher-Order Functions

Wan-Teh Chang

Edward A. Lee

Alan Kamas

Thomas M. Parks

UC Berkeley

Karim P. Khiar

Thomson SGS

UNIVERSITY OF CALIFORNIA AT BERKELEY

1. Modeling and Design - Ptolemy Project - University of California ...

A Component-Based Approach to Modeling and Simulating Mixed ...

Table 4.1 Properties of the Fourier Transform (Fourier's Song) Dr ...

Dynamic Dataflow Modeling in Ptolemy II - Ptolemy Project ...

Report on Systems on a Chip Scenario (Edward Lee)

Design and Implementation of TinyGALS: A Programming Model for ...

How to Replace an Array Subset Tutorial Functions -> Programming ...

Computing for Embedded Systems What is an ... - Ptolemy Project

functional design of data-flow networks - Ptolemy Project

Cyber-Physical Systems - Are Computing ... - Ptolemy Project

Higher-Order Functions HOFs are functions that take functions as arguments and return functions. For example map f returns a function that applies function f to elements of a list. In a typical functional language (Haskell): scan (f, init, ⊥) = init scan (f, init, (x:xs)) = f (x,scan(f, init, xs)) where ⊥ means no arguments. So, scan ((+), 0, list) adds all the elements of a list. UNIVERSITY OF CALIFORNIA AT BERKELEY

Higher-Order Functions Wan-Teh Chang Edward A. Lee Alan Kamas Thomas M. Parks UC Berkeley Karim P. Khiar Thomson SGS UNIVERSITY OF CALIFORNIA AT BERKELEY

Page 1 and 2: Conclusions Advantages of higher-or
Page 3 and 4: Using Map for Recursion in Dynamic
Page 5 and 6: Generalization of Map to Signal Sou
Page 7: Key Idea in Visual Programming UNIV

Conclusions Advantages of higher-order functions ...

You also want an ePaper? Increase the reach of your titles

Delete template?

Save as template?