skip to main content
OSTI.GOV title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: Numerical Optimization Algorithms and Software for Systems Biology

Technical Report ·
DOI:https://doi.org/10.2172/1107780· OSTI ID:1107780

The basic aims of this work are: to develop reliable algorithms for solving optimization problems involving large stoi- chiometric matrices; to investigate cyclic dependency between metabolic and macromolecular biosynthetic networks; and to quantify the significance of thermodynamic constraints on prokaryotic metabolism.

Research Organization:
Stanford Univ., CA (United States)
Sponsoring Organization:
USDOE; USDOE SC Office of Advanced Scientific Computing Research (SC-21)
DOE Contract Number:
SC0002009
OSTI ID:
1107780
Report Number(s):
DOE-STANFORD-02009
Country of Publication:
United States
Language:
English

Similar Records

Determining the Bayesian optimal sampling strategy in a hierarchical system.
Technical Report · Wed Sep 01 00:00:00 EDT 2010 · OSTI ID:1107780

Fast, Dynamic, and Scalable Algorithms for Large-Scale Constrained Optimization
Technical Report · Tue Oct 08 00:00:00 EDT 2019 · OSTI ID:1107780

Software defined network inference with evolutionary optimal observation matrices
Journal Article · Mon Sep 11 00:00:00 EDT 2017 · Computer Networks · OSTI ID:1107780