- Home
-
Board
- Editorial Board
- Apply For Reviewer
-
Research Publishing Standards
- Guidelines
- Peer Review Policy
- Short Guide to New Editors
- Retraction Guidelines
- Research Institute
- Recommendations for the Board of Directors
- Editor Research Audit and Service Assessments
- Guidelines for Journals Publishers
- Code of Conduct for Journal Publishers
- Commandment in Social Media
- Suggestions
- Authorship Disputes
- Rights and Responsibilities
- Editors Home
- Visibility
- Information
- Apply for Editorial
- About
- Call for Paper
- Research Community
-
Journals
- Computer Science
-
Medical Research
- A: Neurology & Nervous System
- B: Pharma, Drug Discovery, Toxicology & Medicine
- C: Microbiology & Pathology
- D: Radiology, Diagnostic Imaging and Instrumentation
- E: Gynecology & Obstetrics
- F: Diseasescancer, ophthalmology & pediatric
- G: Veterinary Science & Veterinary Medicine
- H: Orthopedic & Musculoskeletal System
- I: Surgeries & Cardiovascular System
- J: Dentistry & Otolaryngology
- K: Interdisciplinary
- L:Nutrition and Food Science
- Engineering
- Science Frontier Research
- Management
-
Human-Social Science
- A: Arts & Humanities psychology, public administration, library sciences, sports, arts, media, music
- B: Geography, Environmental Science & Disaster Management
- C: Sociology & Culture
- D: History, Archaeology & Anthropology
- E: Economics
- F: Political Science
- G: Linguistics & Education
- H: Interdisciplinary
-
Fellow
-
Support
Account
×
The Myth of Equilibrium and The Myth of Optimization: Outside Natural Sciences: A Graduate Lecture
Both the optimization and equilibrium principles turn out to be more akin to common sense than to science. They have been postulated as describing markets, but lack the required empirical underpinning. Optimization is not a magic cure. In order to particularly circumvent some of the technical obstacles for a control problem , it turns out to be practically effective to reduce the system dynamics to a system of ordinary differential equations of considerably higher dimension, Such an approach might replace a theoretical difficulty by a greatly increased computational problem.
