Bandingkan kaedah

	Lengkung Pembelajaran (Hukum Kuasa Amalan)	Pengaturcaraan Tak Linear
Bidang	Analitik Pendidikan	Pengoptimuman
Keluarga	Regression model	Process / pipeline
Tahun asal	1936	2006
Pengasas	Theodore Wright	Jorge Nocedal & Stephen Wright
Jenis	Power-law regression model	Continuous mathematical optimization
Sumber perintis	Wright, T. P. (1936). Factors affecting the cost of airplanes. Journal of the Aeronautical Sciences, 3(4), 122–128.	Nocedal, J., & Wright, S. J. (2006). Numerical Optimization (2nd ed.). Springer. ISBN: 978-0-387-30303-1
Alias	Power Law of Practice, Experience Curve, Wright's Law, Öğrenme Eğrisi	NLP optimization, Constrained nonlinear optimization, Smooth optimization, Doğrusal olmayan programlama
Berkaitan	3	3
Ringkasan	The learning curve models how performance improves predictably as cumulative experience accumulates. Formalized by Theodore Wright in 1936 using aircraft manufacturing data, it expresses the relationship between the number of practice trials (or production units) and the time or cost per unit as a power-law function. It is widely applied in educational psychology, industrial engineering, health professions training, and human factors research whenever repeated task execution is the mechanism of skill acquisition.	Nonlinear programming (NLP) is a branch of mathematical optimization concerned with problems in which the objective function or at least one constraint is nonlinear. Formalized comprehensively by Jorge Nocedal and Stephen Wright in their seminal 2006 text, NLP encompasses gradient-based algorithms — including sequential quadratic programming (SQP), interior-point methods, and quasi-Newton approaches — for finding locally or globally optimal solutions to continuous decision problems arising across engineering, economics, and the physical sciences.