復(fù)雜的多學(xué)科雜志出版原始的研究論文，包含大量的數(shù)學(xué)結(jié)果的復(fù)雜性作為廣泛的設(shè)想。優(yōu)秀的評(píng)審論文也將發(fā)表。在計(jì)算復(fù)雜度方面，重點(diǎn)是實(shí)數(shù)上的復(fù)雜度，重點(diǎn)是下界和最優(yōu)算法。復(fù)雜性雜志也發(fā)表文章，提供主要的新算法或在上界上取得重要進(jìn)展。其他計(jì)算模型，如圖靈機(jī)模型，也很有趣。計(jì)算復(fù)雜性的結(jié)果在各種各樣的領(lǐng)域被征求。領(lǐng)域包括:?近似理論?生物醫(yī)學(xué)計(jì)算?壓縮計(jì)算和傳感?計(jì)算金融?計(jì)算數(shù)論?計(jì)算推斷統(tǒng)計(jì)學(xué)?控制理論?密碼學(xué)?實(shí)驗(yàn)設(shè)計(jì)?微分方程?離散問(wèn)題?分布式并行計(jì)算?高維和無(wú)限大問(wèn)題?信息復(fù)雜性?逆問(wèn)題和不適定問(wèn)題?機(jī)器學(xué)習(xí)?馬爾可夫鏈蒙特卡羅?蒙特卡羅和準(zhǔn)蒙特卡羅?多元積分和近似?嘈雜的數(shù)據(jù)?非線性和代數(shù)方程?數(shù)值分析?算子方程?優(yōu)化?量子計(jì)算?科學(xué)計(jì)算?多元問(wèn)題的可處理性?視覺(jué)和圖像理解

The multidisciplinary Journal of Complexity publishes original research papers that contain substantial mathematical results on complexity as broadly conceived. Outstanding review papers will also be published. In the area of computational complexity, the focus is on complexity over the reals, with the emphasis on lower bounds and optimal algorithms. The Journal of Complexity also publishes articles that provide major new algorithms or make important progress on upper bounds. Other models of computation, such as the Turing machine model, are also of interest. Computational complexity results in a wide variety of areas are solicited.Areas Include: ? Approximation theory ? Biomedical computing ? Compressed computing and sensing ? Computational finance ? Computational number theory ? Computational stochastics ? Control theory ? Cryptography ? Design of experiments ? Differential equations ? Discrete problems ? Distributed and parallel computation ? High and infinite-dimensional problems ? Information-based complexity ? Inverse and ill-posed problems ? Machine learning ? Markov chain Monte Carlo ? Monte Carlo and quasi-Monte Carlo ? Multivariate integration and approximation ? Noisy data ? Nonlinear and algebraic equations ? Numerical analysis ? Operator equations ? Optimization ? Quantum computing ? Scientific computation ? Tractability of multivariate problems ? Vision and image understanding