Ldk 21 22

THREE'S A CROWD Leon's departure from the apartment he shared with Aoi and Shusei leaves a noticeable hole in the couple's daily life, leading them to make a surprisingly serious decision. As rumors abound through the halls of their high school, the two decide it best to end their cohabitation until graduation, though all it does is lead to loneliness on Aoi's part. Noticing this, Soju (partially forces) Aoi out on a date to cheer her up while playing the part of the caring older brother to Shusei, only leading to more chaos.

The shojo romance that's become a cultural touchstone in Japan! Includes Vol. 21 and 22. Ages 16 and up.

LOVEY-DOVEY DRAMA Aoi and Shusei’s bond becomes ever stronger, adding to their already airtight love! But as the two of them grow closer, the lives of the people around them get turbulent. As Shouta pushes the brother he never wanted away, he stumbles upon Yudai’s diary and makes a startling discovery. Meanwhile, Eri kisses Wataru as he pines over Aoi, leading to a night of releasing pent-up anger and passion. Eri finally decides to confess her love to Wataru, but there is no telling what he might do…

Shusei is the most handsome and popular boy at his high school -- and he's turned down almost every girl there, including Aoi's best friend. But when his apartment catches fire, he has to move in with his neighbor: Aoi! What will these unwilling roommates become to each other when forced to share an LDK?

LIVING, DINING, KITCHEN...LOVE? Aoi Nishimori is a high school girl who lives alone in her own apartment, but to her surprise, she discovers that the prince of her school, Shusei Kugayama, has moved in next door! To add to this, a series of crazy happenings result in the two living together under a single roof! Shusei is known to be a heartless guy and Aoi particularly hates him after he coldly rejected her best friend, so a life of cohabitation seems like a recipe for disaster. And yet, Aoi somehow can’t stop her heart from pounding when she’s with Shusei...

This handbook gathers together the state of the art on mathematical models and algorithms for imaging and vision. Its emphasis lies on rigorous mathematical methods, which represent the optimal solutions to a class of imaging and vision problems, and on effective algorithms, which are necessary for the methods to be translated to practical use in various applications. Viewing discrete images as data sampled from functional surfaces enables the use of advanced tools from calculus, functions and calculus of variations, and nonlinear optimization, and provides the basis of high-resolution imaging through geometry and variational models. Besides, optimization naturally connects traditional model-driven approaches to the emerging data-driven approaches of machine and deep learning. No other framework can provide comparable accuracy and precision to imaging and vision. Written by leading researchers in imaging and vision, the chapters in this handbook all start with gentle introductions, which make this work accessible to graduate students. For newcomers to the field, the book provides a comprehensive and fast-track introduction to the content, to save time and get on with tackling new and emerging challenges. For researchers, exposure to the state of the art of research works leads to an overall view of the entire field so as to guide new research directions and avoid pitfalls in moving the field forward and looking into the next decades of imaging and information services. This work can greatly benefit graduate students, researchers, and practitioners in imaging and vision; applied mathematicians; medical imagers; engineers; and computer scientists.